Risk Adjustment Data Analyst

Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. We protect, connect, and deliver the world’s health data to power better decisions and advance human health. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, you’re stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

In this role, you will be working closely with our internal partners, helping them make sense of the data received from our clients, and analyzing the data to create any standard and custom reports as required by internal and external customers. As a core member of the project teams, you will also have the opportunity to identify and implement process improvements in the data analysis lifecycle. This position is ideal for someone who has the right mix of data analysis, curiosity, and communication skills to delight customers with thoughtful analyses, insights and visualizations.

You will:

Deliver high-quality work on defined problems, growing in your independence and analytics capabilities and supporting key stakeholders by:

• Gather Business Requirements
• Understand Datavant’s business, products and data stores
• Gather requirements from clients around data analysis
• Work with the customer success managers (CSMs) to review and validate the data analysis requirements
• Perform data manipulation and analysis
• Identify the best sources of primary or secondary data to satisfy business requirements
• Work with cross-functional teams (analytics, data integrations, engineering) to collect and transform data
• Review active project metrics with CSMs to determine if forecasted outcomes are in alignment with expectations
• Communicate Insights
• Use business intelligence tools to create reports and visualizations that communicate results of data analysis
• Combine data from multiple sources and business logic to create standard and custom output reports for delivery
• Present and explain analytical problems, approaches, results, and recommendations
• Improve Processes
• Use preliminary analyses to revise report methodologies, when necessary, and analyze end results
• Develop and implement scripts to automate analyses to solve data problems
• Oversee the implementation of approved process improvements
• Demonstrate Initiative and Focus
• Demonstrate ability to adapt in a rapidly changing environment with evolving product capabilities
• Have a high degree of initiative and customer service focus
• Be a results oriented team player

What you will bring to the table:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Health Services, Economics or equivalent field required.
• 1-3 years of hands-on work experience in business intelligence and analytics. Technical knowledge of BI techniques and tools like Sigma BI, Power BI or Looker.
• Experience conducting data analysis in SQL and Excel, and a scripting language like Python, R, SAS
• Strong communication skills necessary to relay complex data analysis requirements to team members and customers.
• Strong organizational and planning skills are essential.
• Ability to work independently when needed, applying critical thinking and problem solving to achieve a positive outcome.

Bonus points if:

• Experience working in the healthcare industry
• Experience and familiarity with MA, ACA and Medicaid Risk Adjustment models.
• Experience with other business intelligence backend and analytics applications
• Familiarity with or interest in learning Databricks, Snowflake, dbt, Airflow, etc for data ETL, pipelines, and intermediate engineering work